Search

everythingexperts & clinicslearnfaqsresearchcommunity

for

Search:↓

In this case study, treatment with terbinafine effectively resolved symptoms of tinea capitis in an eight-year-old male, highlighting trichoscopy as a valuable diagnostic tool for this common fungal scalp infection and proposing its integration with clinical data for quicker diagnosis in settings lacking mycological facilities.

The study introduced an advanced skin model, ImmuSkin-MT, which effectively distinguished between different strengths of skin sensitizers by mimicking the interaction of immune cells in skin tissue.

In this study, the integration of obesity-related features and machine learning techniques significantly enhanced cardiovascular disease detection, with the XGBoost classifier achieving a 74% accuracy rate and improved metrics compared to other models.

This study identified key genes related to ischemic stroke through the ferroptosis pathway and highlighted the potential role of specific traditional Chinese medicines in regulating associated biological processes.

This review discusses existing forensic DNA phenotyping panels for biogeographical ancestry and externally visible characteristics and highlights major technical limitations, including terminology issues, genetic knowledge gaps, and technological debates; it reports no new results.

This study analyzed gene expression data to identify key genes involved in severe forms of alopecia areata, discovering four immune monitoring genes (LGR5, SHISA2, HOXC13, S100A3) with potential for early diagnosis and better understanding of the disease's biological mechanisms.

This abstract discusses the unclear role of dihydrotestosterone (DHT) in postembryonic life in marsupials and possibly humans, reporting no new findings.

This review discusses the association between various skin conditions and metabolic syndrome, reporting no new clinical results but suggesting a potential reciprocal relationship that warrants further investigation.

This study found that integrating machine learning enhances the predictive accuracy of forensic DNA phenotyping from low template DNA, achieving high accuracy for traits like eye color, although challenges remain for admixed populations and complex traits.

Machine learning is effective in predicting gene functions and their relationships with diseases.

This review discusses forensic DNA phenotyping and its potential applications, particularly for human identification in Latin American populations, but notes challenges due to genetic diversity and reports no new results.

In this study, the XGBoost algorithm successfully diagnosed polycystic ovary syndrome with an accuracy of 0.87 using a dataset from Kerala, suggesting its usefulness for classification problems in healthcare.

This study reviews the transformative role of artificial intelligence in biomaterial design, highlighting its ability to reduce costs through virtual screening, enhance material performance, and predict biological interactions to advance personalized and precision medicine.

This study developed a mathematical model using hair biomarkers (levels of Mg, K, Fe, Al, Cr) to noninvasively predict iron content in Hereford cattle muscle tissue, potentially improving livestock management and meat quality.

This review examines non-invasive methods for diagnosing inflammatory skin diseases like lupus erythematosus and psoriatic inflammation using samples from plucked hair and skin tape-strips, but no new clinical results are presented.

This review discusses the classification and diagnosis of primary scalp alopecia, focusing on scarring and non-scarring types, and reports no new clinical results; it emphasizes simplified diagnostic pathways and tissue processing techniques.

This review discusses strategies for managing dermatological symptoms of hyperandrogenism in PCOS by reducing androgen levels and actions, and reports no new clinical results.

This review discusses the effectiveness and mechanisms of combined oral contraceptives in treating acne vulgaris but reports no new clinical results; the authors highlight their antiandrogenic effects for managing acne and related endocrine disorders.

This study identified shared gene expression changes and immune cell infiltration patterns that may contribute to hair loss in alopecia areata and cutaneous lupus erythematosus, but also highlighted factors that might preserve hair in psoriasis patients.

This study found that a basal 17-hydroxyprogesterone level is effective for screening nonclassic adrenal hyperplasia in women, with a 4 ng/mL cutoff providing high specificity and positive predictive value.

In this study, researchers analyzed spaceflight data from various sources and found that skin issues during spaceflight are linked to DNA damage, mitochondrial dysregulation, and gene alterations, while also highlighting the skin's adaptability post-flight.

This review summarizes recent studies on metformin for polycystic ovary syndrome, reporting its beneficial effects on endocrine, metabolic, and reproductive outcomes, but highlights ongoing debate about its mechanisms.

This study developed new genetic prediction models for male pattern baldness with improved accuracy by utilizing a large set of markers and independent datasets, making them the most reliable available for this trait.

This study constructed a model using serum levels of BMP2, CD8A, PRF1, and XCL1 as a non-invasive biomarker to accurately predict recurrence in patients with alopecia areata.

This study assessed breeding value estimation methods for Korean Sapsaree dogs, finding varied accuracy across BLUP approaches and identifying significant genomic regions affecting traits like body height and hair length. The researchers suggest these findings can enhance breeding strategies for this culturally significant breed.

This review reports that while deep learning shows promise in diagnosing scalp disorders from images, challenges remain with data quality and model interpretability, suggesting that integrating explainable AI techniques is crucial for building trust and facilitating clinical adoption.

This study explored how long non-coding RNA mediates the effects of FGF5 on the hair follicle development and villus growth of Liaoning cashmere goats.

This special issue contains abstracts from the ASA 40th Annual Meeting, providing an overview of various studies without reporting new primary results.

This study found that glycolytic metabolism and lactate production are crucial for hair follicle stem cell activation, and manipulating these processes can stimulate the hair cycle.

In this study, researchers found that exposure to PM10 significantly increased inflammation and impaired collagen synthesis in human dermal fibroblasts, suggesting PM10 contributes to skin aging through these mechanisms.